Rishikesh Ranade

402 citations
19 papers · 222 · h-index 9

Impact in

Papers in

Rishikesh Ranade

17 papers receiving 216 citations

Peers

Rishikesh Ranade
Comparison fields: 5 of 46
  • Fluid Flow and Transfer Processes 83
  • Computational Mechanics 115
  • Statistical and Nonlinear Physics 39
  • Safety, Risk, Reliability and Quality 25
  • Civil and Structural Engineering 32
Replace Wenyan Song with:
Wenyan Song China
Shashank Yellapantula United States
Jeffrey Csank United States
Laila A. Al‐Essa Saudi Arabia
Haibiao Zheng China
M. H. Hamdan Canada
Ali Karakus Türkiye
Tiemo Mathijssen Netherlands
Benoît Enaux France
C. Siviero Italy
Rishikesh Ranade relative to Wenyan Song China Wenyan Song's profile →
Citations per field
00.5×6.4×
Wenyan Song · 1×
Citations per year

Countries citing papers authored by Rishikesh Ranade

Since Specialization
Citations

This map shows the geographic impact of Rishikesh Ranade's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rishikesh Ranade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishikesh Ranade more than expected).

Fields of papers citing papers by Rishikesh Ranade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rishikesh Ranade. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rishikesh Ranade. The network helps show where Rishikesh Ranade may publish in the future.

Co-authors

The 21 scholars most cited alongside Rishikesh Ranade, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rishikesh Ranade Line = papers co-authored together Rishikesh Ranade links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202146
2 201843
3 201928
4 202123
5 201917
6 202414
7 202412
8 20229
9 20238
10 20226
11 20235
12 20214
13 20252
14 20232
15 20241
16 20221
17 20231
18 20240
19 20250

About Rishikesh Ranade

Rishikesh Ranade is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering, having authored 19 papers that have together received 222 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (8 papers), Combustion and flame dynamics (6 papers), Model Reduction and Neural Networks (6 papers), Fire dynamics and safety research (5 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Numerical methods in inverse problems (3 papers), Low-power high-performance VLSI design (2 papers) and Heat transfer and supercritical fluids (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (83 citations), Computational Mechanics (115 citations), Statistical and Nonlinear Physics (39 citations), Safety, Risk, Reliability and Quality (25 citations) and Civil and Structural Engineering (32 citations). Rishikesh Ranade has collaborated with scholars based in United States, Saudi Arabia and Israel. Frequent co-authors include Tarek Echekki, Sultan Alqahtani, Aamir Farooq, Adarsh Krishnamurthy, Aditya Balu, Soumik Sarkar, George Em Karniadakis, Norman Chang, Enrui Zhang and Haiyang He. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Combustion and Flame, Fuel, Nature Communications and Engineering Applications of Artificial Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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